715 parallel-and-distributed-computing-"Meta"-"Meta" positions at The University of Chicago
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of Chicago’s Department of Neurological is searching for full-time faculty members at any rank. This is an exciting opportunity to be a member of our growing neurosurgical program as we welcome our Inaugural
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techniques for studying liquid-vapor interfaces or small-molecule sing-crystallography. Background working within academic and laboratory environments. Technical Skills or Knowledge: Strong computer
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and coordinates the production of APL programs and events across all venues. Collaborates with APL program leads to ensure technical and logistical readiness for events and programs. Serves as a primary
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are poised to continue the tradition of excellence as through in a highly innovative research training program. Research Training in Oncology is supported through several training grants largely funded by
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Professor to join our translational research program in autoimmune and inflammatory diseases. The appointee’s primary activity will involve conducting academic research in association with a faculty member or
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of 80 - 100 pounds. Operation of heavy machinery. Sit at a computer for 2-4 hours. This is a part-time position of approximately 20 hours per week. Application Documents Resume/CV (required) Cover Letter
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Advancement, including Phoenix (the University's Donor Relationship Management System). Proficient in a Microsoft Windows computer environment, Microsoft Outlook, Word, Excel, PowerPoint and Access. Preferred
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well as the technology tools available to the Office of Advancement, including the University's donor relationship management system. Proficient in Salesforce and Tableau. Proficient in Microsoft Windows computer
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administrating sponsored research, pre and post-award. Working with enterprise-wide financial and sponsored research systems. Technical Skills or Knowledge: Create verbal and written reports. Computer proficiency
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or Knowledge: Proficient in Microsoft Windows Suite, including Microsoft Outlook, Word, Excel. Excellent computer skills including fluency in Google Suites. Deep knowledge of climate and engineering, modeling